A comparison study of different color spaces in clustering based image segmentation
Information Processing and Management of Uncertainty in Knowledge-Based …, 2010•Springer
In this work we carry out a comparison study between different color spaces in clustering-
based image segmentation. We use two similar clustering algorithms, one based on the
entropy and the other on the ignorance. The study involves four color spaces and, in all
cases, each pixel is represented by the values of the color channels in that space. Our
purpose is to identify the best color representation, if there is any, when using this kind of
clustering algorithms.
based image segmentation. We use two similar clustering algorithms, one based on the
entropy and the other on the ignorance. The study involves four color spaces and, in all
cases, each pixel is represented by the values of the color channels in that space. Our
purpose is to identify the best color representation, if there is any, when using this kind of
clustering algorithms.
Abstract
In this work we carry out a comparison study between different color spaces in clustering-based image segmentation. We use two similar clustering algorithms, one based on the entropy and the other on the ignorance. The study involves four color spaces and, in all cases, each pixel is represented by the values of the color channels in that space. Our purpose is to identify the best color representation, if there is any, when using this kind of clustering algorithms.
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